Abstract: Accurate and effective diagnosis of transformer winding conditions is crucial for ensuring their safe and reliable operation. This paper proposes a transformer winding fault detection method ...
Temporal Convolutional Network-Based Model for Precision Time-Series Forecasting in Marine Fisheries
Abstract: Recent advancements in sensor technology have made it increasingly feasible to collect long-term, continuous data. However, challenges related to data completeness, timeliness, and quality ...
Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
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